code: def test_forward_runs_with_non_bijective_mapping(self):
      elmo_fixtures_path = self.FIXTURES_ROOT / "elmo"
      options_file = str(elmo_fixtures_path / "options.json")
      weight_file = str(elmo_fixtures_path / "lm_weights.hdf5")
      params = Params(
          {
              "token_embedders": {
                  "words": {
                      "type": "embedding",
                      "num_embeddings": 20,
                      "embedding_dim": 2,
                  },
                  "elmo": {
                      "type": "elmo_token_embedder",
                      "options_file": options_file,
                      "weight_file": weight_file,
                  },
              }
          }
      )
      token_embedder = BasicTextFieldEmbedder.from_params(
          vocab=self.vocab, params=params
      )
      inputs = {
          "words": {"tokens": (torch.rand(3, 6) * 20).long()},
          "elmo": {"elmo_tokens": (torch.rand(3, 6, 50) * 15).long()},
      }
      token_embedder(inputs)
  
file_path: allennlp/tests/modules/text_field_embedders/basic_text_field_embedder_test.py
imports: import pytest
  import torch
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.data import Vocabulary
  from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 7 for calling the TestBasicTextFieldEmbedder obj's underlying member method code with example usage: obj.test_forward_runs_with_non_bijective_mapping() without return types